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Water Policy in the Murray Darling Basin 21-22 October 2010 Discussant David Pannell ARC Federation Fellow
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Jeff Connor
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Will it help? BCA in highly politicised debates e.g. NBN – calls for BCA in hope it will look bad How would a non-market study fare in a red hot political debate? Not very well. Do policy makers want it? Would people believe it?
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Various reasons for non-adoption of NMV Ignorance that it exists No institutional framework for it to feed into Prefer not to know – transparency creates constraints Avoidance of transaction costs from controversy High cost of doing it Perhaps a judgement that value of the information would be modest Suspicion due to controversy within economics Satisfaction with existing methods Preference for relying on expert or policy maker judgements Timing – it would take too long for the policy time frame Limitations on benefit transfer
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Used for what? Overall assessment of the policy Prioritisation of options within the policy – targeting of effort and resources
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Thilak Mallawaarachchi et al.
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Which uncertainties included? Aggregate rainfall Allocation decisions
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Uncertainties not included Environmental outcomes High uncertainty about environmental benefits from changes in water management – Mac Kirby Human behaviour Predicting which irrigators will sell water is essentially impossible – Peter Gooday Political outcomes
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Uncertainty about behaviour 'I can calculate the motions of the heavenly bodies but not the madness of the people.’ Isaac Newton, 1720
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Challenge of communicating risk Advising a govt department about metric for prioritising projects They used weighted additive function, as is common in MCA Project score = w.Benefit + w.Risk (≈probability of success) Proposed alternative Project score = Benefit probability of success Response: concern because this seems “more complex”
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Risk and info issues are pervasive Our attempt to deal with them in one context
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Experience with INFFER A BCA disguised as an “integrated assessment” System intended to be acceptable to and usable by non-economists/non-modellers Developed based on experience with various govt departments and 20 regional NRM bodies As simple as possible, but still rigorous
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Risk/information elements in INFFER Elicits probabilities of project failure due to several risk factors Overall project score is an expected value
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Risk/information elements in INFFER Scores information quality Captures knowledge gaps Requires explicit response to knowledge gaps
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Risk/information elements in INFFER Reduces risk of dodgy analysis by providing structured, guided approach with templates and elements automated Encourages/facilitates parameter sensitivity analysis Encourages feasibility phase at start of large projects Encourages adaptive management Update project assessment over time
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Observations The balance between rigour and usability is very challenging Is subject to high uncertainty in itself! Learning and adaptation over time The best approach depends on capabilities of the relevant client organisations
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John Quiggin
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No cuts in allocations “Communication failure” Also some do understand and are focused on impact on “social infrastructure” Local jobs Supporting local population Supporting local services and perhaps social capital
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Risk bearing NWI specified principles for risk bearing Consistent with at least some reduced allocation Was never a serious possibility Even with govt offering to buy, very hot reaction Political costs and transaction costs from reduced allocations would be larger Basin plan position more politically realistic
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Infrastructure A politically-convenient alternative to buy-backs Limits reduction in water to agriculture 2 to 4 times more expensive Cost per job saved: $ millions
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Spend on social infrastructure Usually best for interventions to go for target outcomes directly Needs more thought about specifics, particularly ongoing costs A risk of such a program being distorted Landcare – captured by facilitators Emphasis on participation Little attention paid to outcomes
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Mac Kirby
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Key messages Expected future loss of water to new dams, plantations etc. is modest Second half of 20 th century was relatively wet History isn’t sufficient to guide future planning (characteristics of the drought) Importance of amplifying effect of runoff There are large uncertainties about climate change Likely to see longer and drier droughts Amounts to be saved by infrastructure may be modest
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